The objective of the study was to propose a suitable probability model for supply chain management. As satisfactory service to the customers by different organization is a subject matter of supply chain management, attempt was made to observe the level of satisfaction of the customers visited the banks and mobile operators. Accordingly, data were collected from 560 customers throughout the banking hours in a day of different banks working in Bangladesh. The main questions to the customers were related to the satisfaction of the service rendered by the bank service providers and how much time the customers had to wait to get the service. A contagious probability distribution was fitted assuming the distribution of waiting time as exponential distribution with the assumption of number of customers waiting to follow the Poisson distribution. The percentage of satisfied customers with the service of the bank was 70.7. Satisfaction was noted in 55.1% visited customers of different mobile operator’s office. Level of satisfaction was significantly in declining trend with the increase in ages of the customers. This was true for both the service providing centers. Service satisfaction was in declining rate with the increase in waiting time. The sample data did not provide a suitable probability model according to the assumption.
| Published in | International Journal of Business and Economics Research (Volume 9, Issue 5) |
| DOI | 10.11648/j.ijber.20200905.18 |
| Page(s) | 348-353 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Logistic Process, Outsourcing Organization, Service Satisfaction, Waiting Time
| [1] | Togar M. Simatupang, R. Sridhaan (2002): The collaborate supply chain. The International Journal of Logistics Management, 10 (2), 41-55; https://doi.org/10.1108/09574099910805987. |
| [2] | Peter Finch (2004): β Supply chain risk management, supply chain management, An International Journal, 9 (2), 183-196; https://doi.org/10.1108/13598540410527079. |
| [3] | Samir K. Srivastava (2007): Green supply chain management: A state of the art review. British Academy Management; https://doi.org./10.1111/J.1468-2370.00202.X. |
| [4] | Yemisi A. Bolumote (2001): The supply chain role of third party logistics providers, The International Journal of Logistics Management, 12 (2), 87-1402; https://doi.org/10.1108/09574090110806316. |
| [5] | Rachel Duffy, Andrew Fearne 92004): The impact of supply chain partnership on supplier performance, The International Journal of Logistics Management, 15 (1), 57-72; https://doi.org./10.1108/09574090410700239 |
| [6] | Chris Caplia, Yosssi Shefli (1995): A review and evaluation of logistic performance systems, The International Journal of Logistics Management, 6 (1), 61-74; https://doi.org/10.110809574099510805279 |
| [7] | Lisa M. Ellram, Marth C. Cooper (1990): Supply chain management, partnership, and the shipper-third party relationship. The International Journal of Logistics Management, 1 (2), 1-10; https://doi.org/10.1108/95740939080001276 |
| [8] | Christian Bechtel, Jayarth Jayaram (1997): Supply chain management: A strategic perspective. The International Journal of Logistics Management, 8 (1), 15-34; https://doi.org/10.1108/09574099710805565 |
| [9] | Rachel Rurgess (1998): Avoiding supply chain management failure: Lessons from business process re-engineering, The International Journal of Logistics Management, 9 (1), 15-22, https://doi.org/10.1108/0957409981080571 |
| [10] | Cristina Gimenez (2003): Supply chain management as a competitive advantage in the Spanish grocery sector, The International Journal of Logistics Management, 14 (1), 77-78, https://doi.org/10.1108/109574090310806558 |
| [11] | Tage Skjoett-Larsen (1991): Supply chain management: A new challenge for researchers and managers in the logistics, The International Journal of Logistics Management, 10 (2), 41-55, https://doi.org/10.1108/09574099910805987 |
| [12] | Larry C. Giunipero, Richard R. Brand (1996): Purchasing role in supply chain management, The International Journal of Logistics Management, 7 (1), 29-38, https://doi.org/10.1108/09574099610805412 |
| [13] | Neyman. J. (1939): On a new class of contagious distributions applicable in entomology and bacteriology, Ann. Math. Statist, 10 (1), 35-57. |
| [14] | Johnson, N. L; Kemp, A. W. and Kotz, S. (2005): Univariate discrete distributions, John Wiley and Sons. Inc. New York. |
| [15] | Gupta, R. C. and Ong, S. H (2005): Analysis of long tail count data by Poisson mixtures, Comm. Stat, 34 (3), 557-574. |
| [16] | Karlis, D, Xekalaki, E (2005): Mixed Poisson distributions, Int. Stat. Rcv, 73, 35-58. |
| [17] | Bhuyan, K. C. (2003): On a probability model for pulmonate slugs (Mollosca: Gastropoda: Palmonata) of north. eastern. Libya, AJSE. |
APA Style
Mohammad Asifur Rahman, Atika Farzana Urmi. (2020). On a Probability Distribution in Supply Chain Management. International Journal of Business and Economics Research, 9(5), 348-353. https://doi.org/10.11648/j.ijber.20200905.18
ACS Style
Mohammad Asifur Rahman; Atika Farzana Urmi. On a Probability Distribution in Supply Chain Management. Int. J. Bus. Econ. Res. 2020, 9(5), 348-353. doi: 10.11648/j.ijber.20200905.18
AMA Style
Mohammad Asifur Rahman, Atika Farzana Urmi. On a Probability Distribution in Supply Chain Management. Int J Bus Econ Res. 2020;9(5):348-353. doi: 10.11648/j.ijber.20200905.18
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijber.20200905.18,
author = {Mohammad Asifur Rahman and Atika Farzana Urmi},
title = {On a Probability Distribution in Supply Chain Management},
journal = {International Journal of Business and Economics Research},
volume = {9},
number = {5},
pages = {348-353},
doi = {10.11648/j.ijber.20200905.18},
url = {https://doi.org/10.11648/j.ijber.20200905.18},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20200905.18},
abstract = {The objective of the study was to propose a suitable probability model for supply chain management. As satisfactory service to the customers by different organization is a subject matter of supply chain management, attempt was made to observe the level of satisfaction of the customers visited the banks and mobile operators. Accordingly, data were collected from 560 customers throughout the banking hours in a day of different banks working in Bangladesh. The main questions to the customers were related to the satisfaction of the service rendered by the bank service providers and how much time the customers had to wait to get the service. A contagious probability distribution was fitted assuming the distribution of waiting time as exponential distribution with the assumption of number of customers waiting to follow the Poisson distribution. The percentage of satisfied customers with the service of the bank was 70.7. Satisfaction was noted in 55.1% visited customers of different mobile operator’s office. Level of satisfaction was significantly in declining trend with the increase in ages of the customers. This was true for both the service providing centers. Service satisfaction was in declining rate with the increase in waiting time. The sample data did not provide a suitable probability model according to the assumption.},
year = {2020}
}
TY - JOUR T1 - On a Probability Distribution in Supply Chain Management AU - Mohammad Asifur Rahman AU - Atika Farzana Urmi Y1 - 2020/10/20 PY - 2020 N1 - https://doi.org/10.11648/j.ijber.20200905.18 DO - 10.11648/j.ijber.20200905.18 T2 - International Journal of Business and Economics Research JF - International Journal of Business and Economics Research JO - International Journal of Business and Economics Research SP - 348 EP - 353 PB - Science Publishing Group SN - 2328-756X UR - https://doi.org/10.11648/j.ijber.20200905.18 AB - The objective of the study was to propose a suitable probability model for supply chain management. As satisfactory service to the customers by different organization is a subject matter of supply chain management, attempt was made to observe the level of satisfaction of the customers visited the banks and mobile operators. Accordingly, data were collected from 560 customers throughout the banking hours in a day of different banks working in Bangladesh. The main questions to the customers were related to the satisfaction of the service rendered by the bank service providers and how much time the customers had to wait to get the service. A contagious probability distribution was fitted assuming the distribution of waiting time as exponential distribution with the assumption of number of customers waiting to follow the Poisson distribution. The percentage of satisfied customers with the service of the bank was 70.7. Satisfaction was noted in 55.1% visited customers of different mobile operator’s office. Level of satisfaction was significantly in declining trend with the increase in ages of the customers. This was true for both the service providing centers. Service satisfaction was in declining rate with the increase in waiting time. The sample data did not provide a suitable probability model according to the assumption. VL - 9 IS - 5 ER -
Information
Email: